Image fusion techniques for remote sensing applications

G. Simone, A. Farina, F.C. Morabito, S.B. Serpico, L. Bruzzone
2002 Information Fusion  
Image fusion refers to the acquisition, processing and synergistic combination of information provided by various sensors or by the same sensor in many measuring contexts. The aim of this survey paper is to describe three typical applications of data fusion in remote sensing. The first study case considers the problem of the Synthetic Aperture Radar (SAR) Interferometry, where a pair of antennas are used to obtain an elevation map of the observed scene; the second one refers to the fusion of
more » ... tisensor and multitemporal (Landsat Thematic Mapper and SAR) images of the same site acquired at different times, by using neural networks; the third one presents a processor to fuse multifrequency, multipolarization and mutiresolution SAR images, based on wavelet transform and multiscale Kalman filter. Each study case presents also results achieved by the proposed techniques applied to real data. Introduction Remote sensing [1] is a science with applications ranging from civilian to surveillance and military. Remote sensing systems measure and record data about a scene. Such systems have proven to be powerful tools for the monitoring of the Earth surface and atmosphere at a global, regional, and even local scale, by providing important coverage, mapping and classification of land cover features, such as vegetation, soil, water and forests. The degree of accuracy achieved in classification depends on the quality of the images, on the degree of knowledge possessed by the researcher, and on the nature of the cover types in the area. For instance, correlations can then be drawn among drainage, superficial deposits and topographic features, in order to show the relationships that occur between forest, vegetation and soils. This provides important information for land classification and land-use management. The sensors that acquire the images, are typically classified as airborne or space borne sensors, if they are placed, respectively, on an airplane or a satellite; furthermore, they can acquire information in different spectral bands on the basis of the exploited frequency, or at different resolutions. Therefore, a wide spectrum of data can be available for the same observed site. For many applications the information provided by individual sensors is incomplete, inconsistent, or imprecise [2, 3, 4] . Additional
doi:10.1016/s1566-2535(01)00056-2 fatcat:pofnphg4cfhvbm5ncd24dvfwom